Chapter 10: Activity- and Strategic-Based Responsibility ...
CHAPTER 15
LEAN ACCOUNTING AND
PRODUCTIVITY MEASUREMENT
1 discussion questions
1. Lean manufacturing is an approach designed to eliminate waste and maximize customer value. It is characterized by delivering the right product, in the right quantity, with the right quality (zero-defect) at the
exact time the customer needs it and at the lowest possible cost.
2. The five principles of lean thinking are:
(1) Precisely specify value by each particular product; (2) Identify the “value stream” for each product; (3) Make value flow without interruption; (4) Let the customer pull value from the producer; and (5) Pursue perfection.
3. Two types of value streams are the order fulfillment value stream and the new product value stream. The order fulfillment value stream focuses on providing current products to current customers. The new product value stream focuses on developing new products for new customers.
4. A value stream may be created for every product; however, it is more common to group products that use common processes into the same value stream. One way to identify the value streams is to use a simple two-dimensional matrix, where the activities/ processes are listed on one dimension and the products on a second dimension.
5. The key factors in being able to produce low-volume products with great variety are lower setup times and cellular manufacturing. Reducing setup times and using manufacturing cells eliminates considerable wait and move times so that cycle time is dramatically reduced.
6. Demand-pull means producing only the products when needed and in the quantities needed. Demand-pull systems reduce/
eliminate work-in-process and finished goods inventories. Inventories are the most significant source of waste in a manufacturing firm.
7. Eight sources of waste are: (1) Defective products; (2) Overproduction of goods not needed; (3) Inventories of goods awaiting further processing or consumption; (4) Unnecessary processing; (5) Unnecessary movement of people; (6) Unnecessary transport of goods; (7) Waiting; and (8) The design
of goods and services that do not meet the needs of the customer.
8. A focused value stream is dedicated to one product. It includes all the activities and steps necessary to produce, deliver, and service the product after it is sold. The resources, people, and equipment to accomplish this are all exclusive to the value stream, making all the costs directly trace-able to the product produced by the value stream.
9. Facility costs are assigned using a fixed price cost (e.g., total cost/total square feet). If a value stream uses less square feet, it receives less cost. Thus, the purpose of this assignment is to motivate value-stream managers to find ways to occupy less space. As space is made available, it can be used for new product lines or to accommodate increased sales.
10. Units shipped are used to discourage the production of excess inventories. It also encourages the reduction and elimination of existing finished goods inventories. The unit cost increases if more units are produced than sold. The unit cost decreases if more units are shipped than produced.
11. If the products in the value stream are quite similar, then the average cost will approximate the actual unit product cost. If the product mix is relatively stable over time, then the average unit cost can be a good signal of overall changes in efficiency within the value stream.
12. Value streams often have excess capacity. In certain decisions, such as make-or-buy or accept-or-reject special orders, the change in profitability is the key factor in assessing which way to go. In these cases, knowledge of individual product cost is not needed and, in fact, may be misleading.
13. Total productive efficiency is the point where technical and allocative efficiency are achieved. It is the point where the optimal quantity of inputs is used to produce a given output.
14. Technical efficiency means that for any mix of inputs, no more of any one input is used than necessary. Allocative efficiency means that the least costly and most technically
efficient mix is chosen.
15. Productivity measurement is a quantitative assessment of productivity changes.
16. If the productivity ratio (output/input) has only one input, then it is a partial measure. If all inputs are included, then it is a total measure of productivity.
17. An operational productivity measure is expressed in physical terms, whereas a financial productivity measure is expressed in dollars.
18. Partial measures can be misleading since they do not consider possible trade-offs among inputs. They do, however, allow some assessment of how well individual factors are being used and, additionally, often serve as input to total measures. Total measures are preferred because they provide a measure of the overall change in productivity, and they allow managers to assess trade-offs among inputs.
19. A base period serves as a standard or benchmark for assessing changes in productive efficiency.
20. Profile measurement and analysis computes a series of operational partial productivity measures and compares this series with the corresponding series of the base period
to assess the nature of the productivity changes. Profile analysis does not indicate whether productivity changes are good or bad when trade-offs among inputs exist. No value is attached to productivity changes.
21. Profit-linked productivity measurement and analysis is an assessment of the amount of profit change—from the base period to the current period—attributable to productivity changes.
22. Profit-linked productivity measurement allows managers to assess the economic effects of productivity improvement programs. It also allows valuation of input trade-offs—a critical element in planning productivity changes.
23. The price-recovery component is the difference between the total profit change and the change attributable to productivity effects.
Cornerstone Exercises
CORNERSTONE EXERCISE 15.1
1. Total lead time for a batch of 20 units:
Processing time:
Molding 150 minutes
Welding 300 minutes
Polishing 240 minutes
Assembly 140minutes
Total processing 830 minutes
Move and wait times 75 minutes
Total batch time 905 minutes
2. Processing time (20 units): Elapsed time
First unit 45 minutes
Second unit 60 minutes (processing begins
15 minutes after the first)
Twentieth unit 330 minutes (total processing time)
Time saved over traditional manufacturing: 905 minutes – 330 minutes = 575 minutes
If the cell is processing continuously, then a unit is produced every 15 minutes after the start-up unit. Thus, the production rate is 4 units per hour (60/15). At the steady state, the processing time for 20 units is 300 minutes [(20/4) × 60] and 605 minutes are saved. Welding, the bottleneck process, controls the production rate.
3. 12 minutes (for polishing) is now the longest per-unit processing time and so the production rate is 60/12 = 5 units per hour. Producing 20 units will take 240 minutes [(20/5) × 60] for a continuous process (258 minutes if non-continuous).
Cornerstone Exercise 15.2
1. Unit cost = $900,000/15,000 = $60 per unit. The cost is very accurate as the value stream is dedicated to one product and its costs all belong to that product.
2. Unit cost = $900,000/15,000 = $60. Each unit of Models A and B receives the same cost of $60 per unit. The accuracy depends on the homogeneity of the products within the value stream. Using units shipped for the unit calculation motivates managers to reduce inventories.
3. First, the unit materials cost is calculated separately:
Model A: $240,000*/3,000 = $80
Model B: $360,000/12,000 = $30
*40% × $600,000
Next, the average unit conversion cost is calculated: $300,000/15,000 = $20.
Finally, the unit cost is computed (sum of materials and average conversion cost):
Model A: $80 + $20 = $100
Model B: $30 + $20 = $50
Cornerstone Exercise 15.3
1. Partial Operational Productivity Ratios 2014 Profile*
Labor productivity ratio 5.00
Material productivity ratio 0.25
*Labor: 540,000/108,000; Materials: 540,000/2,160,000
2. Partial Operational Productivity Ratios 2015 Profile*
Labor productivity ratio 6.00
Material productivity ratio 0.30
*Labor: 450,000/75,000; Materials: 450,000/1,500,000
Comparing the 2014 profile (5, 0.25) with the 2015 profile (6, 0.30), productivity increased for each input; thus, the new process has improved overall productivity.
Cornerstone Exercise 15.3 (Concluded)
3. Partial Operational Productivity Ratios 2014 Profilea 2015 Profileb
Labor productivity ratio 5.00 4.00
Material productivity ratio 0.25 0.30
aLabor: 540,000/108,000; Materials: 540,000/2,160,000
bLabor: 450,000/112,500; Materials: 450,000/1,500,000
Labor productivity has decreased, and materials productivity has increased. A trade-off between the two inputs now exists and must be valued to assess the nature of the overall productivity change.
Cornerstone Exercise 15.4
1. Base-period productivity ratios: 5 (labor) and 0.25 (materials). Thus, we have:
PQ (labor) = 450,000/5 = 90,000 hrs.
PQ (materials) = 450,000/0.25 = 1,800,000 hrs.
Cost of labor (PQ × P = 90,000 × $14) $1,260,000
Cost of materials (PQ × P = 1,800,000 × $3.50) 6,300,000
Total PQ cost 7,560,000
2. Cost of labor (AQ × P = 112,500 × $14) $1,575,000
Cost of materials (AQ × P = 1,500,000 × $3.50) 5,250,000
Total current cost $6,825,000
Profit-linked productivity measure:
(1) (2) (3) (4) (2) – (4)
Input PQ PQ × P AQ AQ × P (PQ – AQ) × P
Labor 90,000 $1,260,000 112,500 $1,575,000 $ (315,000)
Materials 1,800,000 6,300,000 1,500,000 5,250,000 1,050,000
$7,560,000 $6,825,000 $ 735,000
Net productivity change = $735,000. Labor productivity change = $(315,000). Materials productivity change = $1,050,000.
Cornerstone Exercise 15.4 (Concluded)
3. 2014 2015 (2015 – 2014)
Revenues $10,800,000 $9,900,000 $(900,000)
Cost of inputs 8,640,000* 6,825,000 1,815,000
Profit $ 2,160,000 $3,075,000 $ 915,000
*108,000 × $12 + 2,160,000 × $3.40
Price recovery = Total profit change – Profit-linked productivity change
= $915,000 – $735,000
= $180,000
The increase in revenues would have been sufficient to recover the increase in the cost of the inputs. The increase in productivity provided a significant additional benefit.
EXERCISES
EXERCISE 15.5
Value streams:
A & D: All common processes
B & E: All common processes
C: Different from all other products
Exercise 15.6
1. Departmental times:
Processing time (15 × 60*) 900 minutes
Wait and move times 80 minutes
Total time 980 minutes
*The sum of the unit production times for each department.
2. Cellular times:
Unit Elapsed time
First 60 minutes
Second 84
Third 108
Fifteenth 396 minutes
If the cell is continuously producing, then the time is 360 minutes (24 × 15).
3. Time saved = 980 – 396 = 584 minutes (620 minutes for the continuous case)
= 584/15 = 38.93 minutes per unit (41.33 for continuous)
Exercise 15.7
1. 60 minutes/24 =2.5 units per hour is the current production rate (24 minutes is the bottleneck time).
2. From start to finish, any unit requires 60 minutes; however, because a unit can begin the production process every 24 minutes, the production rate is one every 24 minutes (or 2.5 per hour).
3. The maximum unit production time for any process within the cell must be four minutes. Thus, ways must be found to reduce the processing time for all four processes to four minutes or less. Process redesign and product redesign are possible ways to reduce the times.
Exercise 15.8
1. Materials, people, equipment, and other resources are dedicated to value streams to the extent possible. In some cases, there may not be enough specialized resources for each value stream. For example, the quality engineer is spread out over several value streams. A portion of his salary (0.40 × $75,000 = $30,000) would be assigned to the value stream. Facility costs are assigned by obtaining a cost per square foot for the entire facility ($1,000,000/100,000 = $10.00 per square foot) and then multiplying this by the square feet occupied by the value stream: $10.00 × 20,000 = $200,000. This amount would be added to the $1,800,000, bringing the total value-stream cost to $2,000,000. If the MP3 value stream could find a way to occupy less space (say 10,000 square feet) and do the same tasks, it would receive a cost assignment of $100,000 ($10 × 10,000). Thus, there is an incentive to use no more space than necessary. Clearly, the purpose of this assignment is to motivate value-stream managers to find ways to occupy less space. As space is made available, it can be used for new product lines or to accommodate increased sales.
2. The recommended size of a value stream is between 25 and 150 employees.
3. The most likely option to be exercised is to cross-train Vivian so that she can function in quality control, eliminating the need for the quality engineer to share time with more than one value stream. It also allows productive use of available capacity and will not increase the cost of the MP3 value stream, and, in fact, may decrease the cost when the partial services of the value engineer are eliminated.
4. Unit cost = $2,000,000/25,000 units = $80 per unit. This cost is very accurate because virtually all of the costs are assigned using direct tracing. Causal tracing is used for facility costs and quality engineering. Thus, this cost is a good efficiency measure for the MP3 value stream, and tracking it over time will provide a measure of changes in efficiency.
Exercise 15.9
1. First, calculate activity rates:
Cell manufacturing: Driver is conversion time (in minutes):
$76,800/(2,400 + 7,200) = $8 per minute
Engineering: Driver is engineering hours:
$27,200/(60 + 260) = $85 per engineering hour
Testing: Driver is testing hours:
$24,000/(100 + 220) = $75 per test hour
Next, calculate product costs:
Model A Model B
Cell:
$8 × 2,400 $ 19,200
$8 × 7,200 $ 57,600
Engineering:
$85 × 60 5,100
$85 × 260 22,100
Testing:
$75 × 100 7,500
$75 × 220 16,500
Total $ 31,800 $96,200
Units 50 150
Unit cost (Cost/Units) $636 $641.33
2. Average cost = $128,000/200 = $640. The average cost approximates the ABC costs with very little error, suggesting that the two value-stream products are quite similar. Alternatively, the ABC cost is about the same for each model, suggesting significant homogeneity and thus the correct specification of the value stream.
Exercise 15.10
1. Week 1
Sales (90 @ $40) $ 3,600
Cost of goods sold (90 @ $20) (1,800)
Gross profit $ 1,800
Week 2
Sales (100 @ $40) $ 4,000
Cost of goods sold (100 @ $20) (2,000)
Gross profit $ 2,000
Week 3
Sales (90 @ $40) $ 3,600
Cost of goods sold (90 @ $20) (1,800)
Gross profit $ 1,800
2. Week 1: Average cost = Value-stream cost/Units shipped
= $1,800/90 = $20
Week 2: Average cost = Value-stream cost/Units shipped
= $1,800/100 = $18
Week 3: Average cost = Value-stream cost/Units shipped
= $2,000/90 = $22.22
The average cost decreased with a drop in inventories and increased with an increase in inventories. The signal is consistent with the objective of reducing inventories.
3. Week 1:
Sales (90 @ $40) $ 3,600
Materials (450)
Conversion cost (1,350)
Value-stream profit $ 1,800
Change in inventory 0
Gross profit $ 1,800
Exercise 15.10 (Concluded)
Week 2:
Sales (100 @ $40) $ 4,000
Materials (450)
Conversion cost (1,350)
Value-stream profit $ 2,200
Change in inventory (200)
Gross profit $ 2,000
Week 3:
Sales (90 @ $40) $ 3,600
Materials (500)
Conversion costs (1,500)
Value-stream profit $ 1,600
Change in inventory 200
Gross profit $ 1,800
The value-stream profit is highest in Week 2 and lowest in Week 3. The profit variability is directly tied to the ability of the stream to produce on demand. In Weeks 1 and 2, inventories are stable or decreasing. In Week 3, the stream slipped and produced more than demanded and so profits decreased. The change in inventory adjustment brings the value stream to the traditional measurement. When the value stream achieves the ability to produce on demand, the two incomes will be the same and any changes in income will be from reductions in waste other than inventories.
Exercise 15.11
1. Seven nonfinancial measures are used (four operational and three capacity). Non-financial measures are helpful in managing and bringing about operational improvement.
2. Time-based: on-time delivery and dock-to-dock days; quality-based: first-time through; efficiency-based: units sold per person and average product cost. Lean firms compete on the basis of these three dimensions. They strive to supply the right quantity at the right price at the right quality at the time the customer wants the product. To supply the quantity needed at the time needed mandates shorter cycle times. Quality mandates zero-defects and lower prices mean that a lean firm must reduce its costs and become more efficient.
Exercise 15.11 (Concluded)
3. The Planned Future State column sets targets for the various financial and nonfinancial measures and thus encourages continuous and innovative improvements.
4. The value stream (processes within the value stream) possesses a certain amount of capacity based on resources employed. Value-added use of the resources is productive use; using resources to produce waste is nonproductive use. Thus, all non-value-added activities are nonproductive use of value stream capacity. As waste is reduced, resources become available for other productive uses.
5. As quality, time, and efficiency increase, we would eventually expect all of this to convert into financial gains. Typically, what happens is that elimination of waste is first expressed as available capacity. Financial gains are realized when the available capacity is either reduced by reducing resources needed or they are used elsewhere for other productive purposes.
Exercise 15.12
1. Combinations B and D are technically efficient. Combination B can produce the same output for less of each input than Combination C. Similarly, Combination D can produce the same output for less of each input than Combination A. Comparing B and D shows that trade-offs exist among the inputs, and so it is not possible to say that B is more technically efficient than D (or vice versa).
2. Once the technically efficient input combinations are identified, then the least costly combination should be chosen. Input prices are used to value the trade-offs (B uses more materials but less labor and energy than D):
Combination B: ($100 × 110) + ($60 × 180) + ($25 × 540) = $35,300
Combination D: ($100 × 92) + ($60 × 190) + ($25 × 570) = $34,850
Combination D is the best choice based on allocative efficiency. The materials savings for D outweigh the gains B makes with labor and energy.
Exercise 15.13
1. Output-input ratios (Combination F1):
Materials: 24,000/72,000 = 0.33
Labor: 24,000/36,000 = 0.67
Yes, there is improvement. Current productivity is:
Materials: 24,000/96,000 = 0.25
Labor: 24,000/48,000 = 0.50
Since 0.33 > 0.25 and 0.67 > 0.50, Combination F1 dominates the current input combination, and productivity would definitely improve.
Cost comparison:
Current combination ($8 × 96,000) + ($12 × 48,000) $1,344,000
Combination F1 ($8 × 72,000) + ($12 × 36,000) 1,008,000
Value of productivity $ 336,000
This improvement is all attributable to technical efficiency. The same output is produced with proportionately less inputs. (Note that the inputs are in the same ratio 2:1, and that Combination F1 reduces each input in the same proportion.)
2. Output-input ratios (Combination F2):
Materials: 24,000/79,200 = 0.30
Labor: 24,000/33,600 = 0.71
Compared to the current use, productivity is better for both materials and labor (0.30 > 0.25 and 0.71 > 0.50).
Compared to Combination F1, however, F2 has lower productivity for materials (0.30 < 0.33) and higher productivity for labor (0.71 > 0.67). Trade-offs must be considered.
3. Cost of Combination F2 ($8 × 79,200) + ($12 × 33,600) $1,036,800
Cost of Combination F1 (See Requirement 1 above) 1,008,000
Difference $ 28,800
Combination F1 is a less costly input combination than F2. (It saves $28,800 of input cost per quarter.) Thus, less resources are used by F1 than F2, and moving from F1 to F2 would not be a productivity improvement. (The same output is produced at a higher cost.) This example illustrates that F1 has a more allocative efficiency than F2.
Exercise 15.14
Productivity profiles:
2014: Power: 184,320/23,040 = 8
Materials: 184,320/46,080 = 4
2015: Power: 216,000/10,800 = 20
Materials: 216,000/48,600 = 4.44
The profile reveals that productivity did improve. Each output-input ratio in 2015 is greater than its 2014 counterpart.
Exercise 15.15
1. Profit-linked measurement (P = $3 and $15 respectively):
Input PQ* PQ × P AQ AQ × P (PQ × P) – (AQ × P)
Power 27,000 $ 81,000 10,800 $ 32,400 $ 48,600
Materials 54,000 810,000 48,600 729,000 81,000
$891,000 $761,400 $129,600
*216,000/8 = 27,000;216,000/4 = 54,000
Profits increased by $129,600 due to productivity changes.
2. Price recovery = Total profit change – Productivity-induced change
Total profit change:
2015:
[($8 × 216,000) – ($3 × 10,800) – ($15 × 48,600)] = $966,600
2014:
[($6 × 184,320) – ($2 × 23,040) – ($16 × 46,080)] = 322,560
$644,040
Price recovery = $644,040– $129,600
= $514,440
Price recovery is the profit change that would have been realized without any changes in productivity. Thus, without the productivity increase, the company would have shown increased profits of $514,440.
Exercise 15.16
1. Productivity profiles:
Base Yeara Current Yearb
Materials productivity ratio 0.75 1.00
Labor productivity ratio 3.00 2.00
aMaterials: 900,000/1,200,000; Labor: 900,000/300,000
bMaterials: 1,080,000/1,080,000; Labor: 1,080,000/540,000
2. Income statements:
Base Year Current Year
Sales $13,500,000 $16,200,000
Materials (6,000,000) (6,480,000)
Labor (2,400,000) (4,320,000)
Gross profit $ 5,100,000 $ 5,400,000
Change in income = $5,400,000 – $5,100,000
= $300,000
3. Profit-linked measurement (where P = $6 and $8, respectively):
PQ* PQ × P AQ AQ × P (PQ × P) – (AQ × P)
Materials 1,440,000 $ 8,640,000 1,080,000 $ 6,480,000 $ 2,160,000
Labor 360,000 2,880,000 540,000 4,320,000 (1,440,000)
$11,520,000 $10,800,000 $ 720,000
*Materials: 1,080,000/0.75; Labor: 1,080,000/3.00
Change attributable to productivity = $720,000
Exercise 15.16 (Concluded)
4. Total profit change:
Base Year: Revenues ($15 × 900,000) $ 13,500,000
Materials ($5 × 1,200,000) (6,000,000)
Labor ($8 × 300,000) (2,400,000)
Profit $ 5,100,000
Current Year: Revenues ($15 × 1,080,000) $ 16,200,000
Materials ($6 × 1,080,000) (6,480,000)
Labor ($8 × 540,000) (4,320,000)
Profit $ 5,400,000
Total profit change = $5,400,000 – $5,100,000
= $300,000
Price-recovery component = $300,000 – $720,000
= $(420,000)
In the absence of productivity changes, input costs would have increased by $3,120,000 ($11,520,000 – $8,400,000). This increase would not have been offset by the $2,700,000 increase in revenues, producing a $420,000 drop in profits. This is the price-recovery component, the amount by which profits will change without considering any productivity changes. The productivity improvement adds an additional $720,000 increase in profits so that total profits increased by $300,000 ($720,000 – $420,000). Thus, the productivity improvement helped offset the profit drop due to input price increases.
CPA-TYPE EXERCISES
Exercise 15.17
c. Employee empowerment is vital for identifying and eliminating all waste, including defective units. Zero inventories are also an objective of lean manufacturing. Thus, answer “c” is the only feature not associated with lean manufacturing.
Exercise 15.18
a. Value stream costing uses the total cost of the value stream divided by the units shipped. Units shipped are used to discourage production of inventories. Thus, answer “a” is the correct choice.
Exercise 15.19
d. The bottleneck process determines the production rate. The bottle neck is molding and thus the production rate = 60/6 = 10 units per hour.
Exercise 15.20
b. Producing more output with the same inputs is clearly an improvement in technical efficiency. Answer d. defines allocative efficiency and the other two answers are consistent with decreases in technical efficiency.
Exercise 15.21
c. Productivity ratios for each year are as follows:
Year 1 Year 2
Materials 1,000/200 = 5 2,000/500 = 4
Labor 1,000/2,000 = 0.50 2,000/2,500 = 0.80
Thus material productivity decreased and labor productivity increased.
2 PROBLEMS
Problem 15.22
1. Pizza: (3 × 30) + (7 × 30) = 300 slices/10 slices per pizza = 30 pizzas
Root beer: (3 × 30) + (2 × 30) = 150 glasses/5 glasses = 30 pitchers
Salads: (1 × 60) = 60 bowls
2. Pizza ($10 × 30) $300
Root beer ($3 × 30) 90
Salad ($2 × 60) 120
Total cost $510
Average lunch cost = $510/60 = $8.50
3. Group (value stream) A:
Pizza: (3 × 30) = 90 slices/10 slices per pizza = 9 pizzas
Root beer: (3 × 30) = 90 glasses/5 glasses = 18 pitchers
Salads: (1 × 30) = 30 bowls
Pizza ($10 × 9) $ 90
Root beer ($3 × 18) 54
Salad ($2 × 30) 60
Total cost $204
Average lunch cost = $204/30 = $6.80
Group (value stream) B:
Pizza: (7 × 30) = 210 slices/10 slices per pizza = 21 pizzas
Root beer: (2 × 30) = 60 glasses/5 glasses = 12 pitchers
Salads: (1 × 30) = 30 bowls
Pizza ($10 × 21) $210
Root beer ($3 × 12) 36
Salad ($2 × 30) 60
Total cost $306
Average lunch cost = $306/30 = $10.20
Placing customers into groups based on similar consumption patterns is analogous to placing products in value streams based on usage of similar processes. Assigning all the costs that relate to the groups is analogous to the assignment and dedication of people, equipment, and resources to a value stream.
Calculating cost per lunch customer is analogous to calculating a cost per unit of product produced.
Problem 15.22 (Concluded)
ABC cost is based on causal relationships:
Cost per slice of pizza = $10/10 = $1 per slice
Cost per glass of root beer = $3/5 = $0.60
Cost per bowl of salad = $2.00
Cost per customer A type (3,3,1) = ($1 × 3) + ($0.60 × 3) + ($2 × 1) = $6.80
Cost per customer B type (7,2,1) = ($1 × 7) + ($0.60 × 2) + ($2 × 1) = $10.20
The focused value stream produces more accurate product costing assignments.
Problem 15.23
1. Group (Light Eaters) A:
Pizza: (2 × 15) + (3 × 15) = 75 slices/10 slices per pizza = 8 pizzas
Root beer: (2 × 15) + (3 × 15) = 75 glasses/5 glasses = 15 pitchers
Salads: (1 × 30) = 30 bowls
Pizza ($10 × 8) $ 80
Root beer ($3 × 15) 45
Salad ($2 × 30) 60
Total cost $185
Average lunch cost $185/30 = $6.17
ABC cost is based on causal relationships:
Cost per slice of pizza = $10/10 = $1 per slice
Cost per glass of root beer = $3/5 = $0.60
Cost per bowl of salad = $2.00
Cost per A1 type (2,2,1) = ($1 × 2) + ($0.60 × 2) + ($2 × 1) = $5.20
Cost per A2 type (3,3,1) = ($1 × 3) + ($0.60 × 3) + ($2 × 1) = $6.80
Problem 15.23 (Concluded)
Group (Heavy Eaters) B:
Pizza: (6 × 15) + (7 × 15) = 195 slices/10 slices per pizza = 20 pizzas
Root beer: (3 × 15) + (2 × 15) = 75 glasses/5 glasses = 15 pitchers
Salads: (1 × 30) = 30 bowls
Pizza ($10 × 20) $200
Root beer ($3 × 15) 45
Salad ($2 × 30) 60
Total cost $305
Average lunch cost $305/30 = $10.17
ABC cost is based on causal relationships:
Cost per slice of pizza = $10/10 = $1 per slice
Cost per glass of root beer = $3/5 = $0.60
Cost per bowl of salad = $2.00
Cost per B1 type (6,3,1) = ($1 × 6) + ($0.60 × 3) + ($2 × 1) = $9.80
Cost per B2 type (7,2,1) = ($1 × 7) + ($0.60 × 2) + ($2 × 1) = $10.20
Using the ABC costs as a benchmark, the Group B value stream is a better similarity grouping than Group A. The groups are analogous to value streams and the assignment of pizza, root beer, and salads to each group is analogous to the assignment and dedication of people, equipment, and resources to value streams. The costing analogies are obvious.
2. The extra capacity created by this reduction is 30 (1 × 30) slices of pizza and
30 (1 × 30) glasses of root beer. Thus, if this excess capacity is eliminated, 3 fewer pizzas (30/10) and 6 fewer pitchers of root beer (30/5) would be needed. This would reduce costs by ($10 × 3) + ( $3 × 6) = $48. Thus, the new average cost would be ($305 - $48)/30 = $8.57.
On the other hand, the four-guest program will require 22 [(5 × 2) + (6 × 2)] slices of pizza and 6 [(2 × 2) + (1 × 2)] glasses of root beer. No additional cost is required (relative to the original arrangement) for pizza and root beer; however, four extra salads would be needed and would cost an extra $8.00, or $2.00 per guest.
In a manufacturing environment, as waste is eliminated from the value streams, extra capacity exists. This extra capacity can be used productively to increase value stream profitability. For example, a special order may be offered and if there is unused capacity in the value stream, the only extra cost may be the cost of materials. Thus, if the price is above the cost of materials, then accepting the order will increase value stream profitability (in the short run).
Problem 15.24
1. The operational performance measures that improved for the first six months all have to do with improving time-based performance. On-time delivery and dock-to-dock days showed dramatic improvements, reflecting the increased ability of the firm to produce on demand. From the capacity measures, we see that the ability to produce on demand has created additional available capacity in the value stream. For the second six months, the focus has been on
improving quality. First-time through improved from 60 percent to 90 percent, a dramatic increase in quality. For example, eliminating scrap may explain why the materials cost dropped, giving the increase in ROS that did occur. The improvements have eliminated waste and increased the amount of available capacity. The implications are profound. The company can produce higher-quality products much more rapidly. This will enable the company to produce the kind of products demanded by customers, in the quantities needed, and delivered when they need them. This should begin to translate into increased sales and improved financial performance. The stage is now set.
2. The constant sales per person, coupled with constant total sales, suggest that the head count has not been reduced. More resources are available for use by the value stream as reflected by the increase in available capacity. The fact that financial performance has not improved dramatically is likely attributable to the fact the company is maintaining the same level of resources in the value stream. Eliminating these resources is one way to improve financial performance. However, a more preferable approach is to find ways to use them productively. New products and expanded production (which may occur because of increased quality and improved cycle time) are much better ways of improving financial performance.
3. Accepting the order only promises a contribution of $10,000, or an ROS of 10 percent, using the traditional standard cost. However, the value stream has 50 percent available capacity, suggesting that the order could easily be accepted (the value stream is currently producing $800,000 of sales output) without causing any increase in the conversion cost already being incurred. The only incremental cost would be the material cost of $30,000. Thus, value- stream profitability would increase by $70,000 and sales by $100,000. ROS = $330,000/$900,000 = 36.67 percent, a hefty increase in ROS from this one order.
Problem 15.25
1. a. Standard-costing-based. Materials price variances may encourage buying in quantity to take advantage of discounts and thus work against the objective of zero inventories (storage is a non-value-added activity). Also, in an effort to achieve a favorable variance, a purchasing agent may buy lower-priced, lower-quality materials, thus working against the objective of total quality control (competing on the basis of quality is critical for the advanced manufacturing environment).
b. Lean-based. Cycle time encourages reduction of the time it takes to produce products. This is compatible with the pull-through philosophy of JIT and the objective of on-time delivery. It supports the objective of delivering goods quickly to customers (time-based competition).
c. Lean-based. This comparison encourages managers to reduce actual costs to the targeted level. This is compatible with the objective of continuous improvement. It is also compatible with the objective of delivering a low-priced, high-quality product to customers, especially since cost reduction is achieved by eliminating non-value-added activities.
d. Standard-costing-based. Materials usage variances may encourage poor quality or excessive inventory. These outcomes conflict with the objectives of total quality and zero inventory. Also, usage standards allow a certain amount of inefficiency and tend to support the status quo, working against the principle of continuous improvement.
e. Lean-based. Trend reports emphasize the objective of continuous improvement. The objective is to encourage managers to produce favorable trends.
f. Standard-costing-based. Traditional performance reports can encourage excessive inventory, lack of preventive maintenance, and poor quality, all of which conflict with the objectives of zero inventories, total preventive maintenance, and total quality. Overreliance on budgetary performance creates an internal focus, ignoring the very critical external relationships.
g. Lean-based. Benchmarking helps foster change. By identifying the best practices of competitors, opportunities, as well as the need for increased efficiency, are noted. This supports the principle of continuous improvement.
h. Lean-based. Improving delivery performance is compatible with the objectives of continuous improvement, service quality, and pull-through production. It also supports the time-based, competitive dimension that is so important for the advanced environment.
Problem 15.25 (Continued)
i. Lean-based. Quality measures are virtually ignored by a standard-costing system. Yet, knowing quality performance is fundamental to measuring and improving quality.
j. Lean-based. Highlighting value- and non-value-added costs is compatible with the objectives of absolute efficiency and continuous improvement. Costs not reported are costs ignored. Highlighting non-value-added costs encourages managers to reduce and eliminate these costs.
k. Standard-costing-based. Labor efficiency variances can encourage poor quality and inventories, both of which conflict with the objectives of total quality and zero inventories. Moreover, with labor becoming a smaller percentage of total costs, it is easy to fall into the trap of overemphasizing direct labor, often at the expense of more important areas.
l. Lean-based. If the objective is to reduce days of inventory, then this measure is compatible with the objective of zero inventories. In this case, the trend in the measure is important and should be declining.
m. Lean-based. Reducing downtime is compatible with total preventive maintenance, zero inventories, and the pull-through philosophy of JIT. As downtime is reduced, one of the major reasons for carrying inventory is eliminated.
n. Lean-based. Manufacturing cycle efficiency is compatible with continuous improvement and elimination of non-value-added activities. As non-value-added activities are eliminated, product cost decreases, and cycle time tends to decrease.
o. Lean-based. The unused capacity measure focuses on activity utilization. The objective is to increase the unused capacity for non-value-added activities and to reduce or redeploy resource spending to more productive outcomes. For value-added activities, increasing activity efficiency should also bring about an increase in activity capacity.
p. Standard-costing-based. This variance often occurs because of using different mixes of skilled laborers. Thus, it discourages the use of skilled laborers in unskilled tasks. Yet, in a JIT environment, for example, one of the objectives is to be able to use laborers in a variety of tasks. Producing on demand may mean that highly skilled production workers should not be producing—in this case, they could be used for such things as cleaning up and preventive maintenance. This makes the labor rate variance less useful.
Problem 15.25 (Concluded)
q. Lean-based. Adopting the best practices of other units within the organization fosters change and continuous improvement.
2. Operational: b, h, i, l, m, n, and sometimes q
Financial: a, c, d, e, f, g, j, k, o, p, and q
Operational measures use physical measures of performance, thus providing operational workers feedback in terms that they know and understand. This allows them to relate to the performance measures in a more meaningful way. Even so, it is probably a good idea to communicate from time to time the dollar effect of changes in performance. In this way, workers know that their performance can significantly affect the financial well-being of the firm (and, as a result, their own financial well-being).
3. Strategic-based accounting derives its measures from the mission and strategy of the organization. Thus, the set of measures is strategically linked. The set of measures expands to cover customer and learning and growth perspectives. The measures are also balanced with particular emphasis on including both lead and lag measures. Lead measures are performance drivers and are the factors that enable improvement of outcome measures. Additional measures would include such things as customer satisfaction, customer retention, market share, customer acquisition, customer profitability, employee satisfaction, employee productivity, and availability of real-time information.
Problem 15.26
1. Productivity profiles:
Current system:
Materials: 30,000/120,000 = 0.25
Labor: 30,000/60,000 = 0.50
Computerized system:
Materials: 30,000/105,000 = 0.29
Labor: 30,000/45,000 = 0.67
Materials and labor productivity increase with the acquisition (as claimed by the production manager).
2. To compare the alternatives, all inputs must be considered:
Productivity profiles:
Current System Computerized System
Materials 0.25 0.29
Labor 0.50 0.67
Capital 0.50 0.10
Energy 1.00 0.40
The productivity profiles indicate a mixed outcome—some ratios improve and some do not. Trade-offs, therefore, must be valued.
3. Profit-linked measurement (where P = $5.00, $10.00, 10.00%, and $3.00, respectively):
PQ* PQ × P AQ AQ × P (PQ × P) – (AQ × P)
Materials 120,000 $ 600,000 105,000 $ 525,000 $ 75,000
Labor 60,000 600,000 45,000 450,000 150,000
Capital 60,000 6,000 300,000 30,000 (24,000)
Energy 30,000 90,000 75,000 225,000 (135,000)
$1,296,000 $1,230,000 $ 66,000
*Since output is the same, PQ equals the inputs for the current system.
The trade-offs are favorable. The computerized system will increase profits by $66,000. These profits are due to increased productivity.
Problem 15.27
1. Productivity profiles:
Materialsa Laborb
2014 0.50 2.0
2015 0.60 2.4
aMaterials: 36,000/72,000; 48,000/80,000
bLabor: 36,000/18,000; 48,000/20,000
The profiles indicate an overall productivity increase and thus support the
effectiveness of the new process.
2. Profit-linked measurement (where P = $5.00 and $10, respectively):
PQ* PQ × P AQ AQ × P (PQ × P) – (AQ × P)
Materials 96,000 $480,000 80,000 $400,000 $ 80,000
Labor 24,000 240,000 20,000 200,000 40,000
$720,000 $600,000 $ 120,000
*Materials: 48,000/0.5; Labor: 48,000/2
Increase in profits due to productivity = $40,000
3. Price-recovery component:
Total profit change:
2015: Revenues ($20 × 48,000) $ 960,000
Materials ($5.00 × 80,000) (400,000)
Labor ($10 × 20,000) (200,000)
Profit $ 360,000
2014: Revenues ($20 × 36,000) $ 720,000
Materials ($4 × 72,000) (288,000)
Labor ($9 × 18,000) (162,000)
Profit $ 270,000
Total profit change = $360,000 – $270,000
= $90,000
Price-recovery component = $90,000 – $120,000
= ($30,000)
Without the productivity improvement, profits would have decreased by $30,000. The increase in sales and the sales price would not have recovered the increase in the cost of inputs.
Problem 15.28
1. Productivity profiles:
Materials Labor
a. 2014 1.67 0.83
b. Change I 1.43 1.25
Change II 2.00 1.00
c. Optimal 2.50 1.25
Change I shows an improvement in labor productivity and a decline in materials productivity. For Change II, both materials and labor productivity ratios improved. Which change should be implemented depends on the value of the productivity trade-offs of Change I versus the value of the productivity improvements of Change II. Profile analysis does not reveal these values.
2. Cost
2014: (33,000 × $60) + (66,000 × $15) = $2,970,000
Change I: (38,500 × $60) + (44,000 × $15) = $2,970,000
Change II: (27,500 × $60) + (55,000 × $15) = $2,475,000
Optimal: (22,000 × $60) + (44,000 × $15) = $1,980,000
Cost of productive inefficiency:
2014: $2,970,000 – $1,980,000 = $990,000
Change I: $2,970,000 – $1,980,000 = $990,000
Change II: $2,475,000 – $1,980,000 = $495,000
Potential improvement for 2015:
Change I: $2,970,000 – $2,970,000 = $0
Change II: $2,970,000 – $2,475,000 = $495,000
Change I improves the technical use of labor but does so by trading off materials for labor inputs. The optimal combination defines the relative mix ratio as 1:2. The mix ratio for Change I is 7:8. Notice that the 2014 mix ratio is 1:2. Thus, moving to Change I decreases allocative efficiency while improving technical efficiency (by using less labor—in fact, the amount of labor used corresponds to the optimal level). Change II, on the other hand, has a mix ratio of 1:2, which is the same as the 2014 and optimal input combination. Therefore, there is no reduction in trade-off efficiency, and reducing the amount of each input required to produce the same output is all attributable to improving technical efficiency.
Problem 15.28 (Concluded)
3. The profit-linked measurement approach will provide the same outcome without requiring knowledge of the optimal input combination. Since the output is the same for both years, the inputs that would have been used in 2015 without any productivity change are the same as 2015 usage. Thus, the profit-linked measure is simply the difference between the cost of the inputs for the two years:
Change I: $2,970,000 – $2,970,000 = $0
Change II: $2,970,000 – $2,475,000 = $495,000
Cyber Research Case
15.29
Answers will vary.
|The following problems can be assigned within CengageNOW and are auto-graded. See the last page of each chapter for descriptions of these new |
|assignments. |
| |
|Integrative Exercise—Activity Based Costing, Quality and Environmental Costing, Lean and Productivity Costing (Covers chapters 4, 14, and 15) |
|Blueprint Problem—Lean Accounting |
|Blueprint Problem—Productivity |
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